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Unilaterally Constrained Motion of a Curved Surgical Tool

Published online by Cambridge University Press:  10 January 2020

Bassem Dahroug*
Affiliation:
AS2M Department, FEMTO-ST Institute, Univ. Bourgogne Franche-Comté/CNRS, 24 Rue Alain Savary, 25000 Besançon, France E-mail: [email protected]
Brahim Tamadazte
Affiliation:
AS2M Department, FEMTO-ST Institute, Univ. Bourgogne Franche-Comté/CNRS, 24 Rue Alain Savary, 25000 Besançon, France E-mail: [email protected] Institute for Intelligent Systems and Robotics, University of Sorbonne, CNRS, UMR 7222, 4 place Jussieu, 75005 Paris, France E-mail: [email protected]
Nicolas Andreff
Affiliation:
AS2M Department, FEMTO-ST Institute, Univ. Bourgogne Franche-Comté/CNRS, 24 Rue Alain Savary, 25000 Besançon, France E-mail: [email protected]
*
Corresponding author. E-mail: [email protected]

Summary

Constrained motion is essential for varying robotics tasks, especially in surgical robotics, for instance, the case of minimally invasive interventions. This article proposes generic formulations of the classical bilateral constrained motion (i.e., when the incision hole has almost the same diameter as that of the tool) as well as unilaterally constrained motion (i.e., when the hole incision has a larger diameter compared to the tool diameter). One of the latter constraints is combined with another surgical task such as incision/ablation or suturing a wound (modeled here by 3D geometric paths). The developed control methods based on the hierarchical task approach are able to manage simultaneously the constrained motion (depending on the configuration case, i.e., bilateral or unilateral constraint) and a 3D path following. In addition, the proposed methods can operate with both straight or curved surgical tools. The proposed methods were successfully validated in various scenarios. Foremost, a simulation framework was proposed to access the performances of each proposed controller. Thereafter, several experimental validations were carried out. Both the simulation and experimental results have demonstrated the relevance of the proposed approach, as well as promising performances in terms of behavior as well as accuracy.

Type
Articles
Copyright
Copyright © Cambridge University Press 2020

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Footnotes

*

This work has been supported by the ANR μRoCS Project (ANR-17-CE19-0005-04).

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